SOTAVerified

Time Series Prediction

The goal of Time Series Prediction is to infer the future values of a time series from the past.

Source: Orthogonal Echo State Networks and stochastic evaluations of likelihoods

Papers

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Showing 361–370 of 477 papers

TitleStatusHype
Dimensionality reduction to maximize prediction generalization capabilityCode1
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks—0
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
Temporal Tensor Transformation Network for Multivariate Time Series Prediction—0
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-timeCode0
Hidden Markov Model: Tutorial—0
Multi-task Temporal Convolutional Network for Predicting Water Quality SensorCode0
Differential Bayesian Neural Nets—0
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural NetworksCode1
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CMU-DEMAverage mean absolute error9.06—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMRMSE0—Unverified